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Sage Bionetworks hosts a variety of web portals for different research communities. The AD Knowledge Portal, the NF Data Portal, and the PsychENCODE Knowledge Portal are a few examples. The following guide describes how to programmatically download data discovered on a portal.
Find
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Files Using Explore
All entities in Synapse are automatically assigned a globally unique identifier used for reference with the format syn12345678. Often abbreviated to “synID”, the ID of an object never changes, even if the name does. You will use a synID to locate the files you wish to download.
Search the available data files via the Explore tab in the navigation bar. The Explore section presents several ways to select data files of interest. The top of the page displays pie charts that summarize the data files based on file annotations of interest, including Assay and Tissue, among others. Selection of one of these chart segments will filter the table below to subset the set of files. Alternatively, access the filters using the facet selection boxes to the left of the table. For this example, you will download the processed data and metadata from the MC-CAA study in the Alzheimer’s Disease (AD) Knowledge Portal.
Download
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Files
Command
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Line
The Synapse command line client can be used to download all data and file annotations with a single command.
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Also in your working directory, you will find a SYNAPSE_TABLE_QUERY_###.csv file that lists the annotations associated with each downloaded file. Here, you will find helpful experimental details relevant to how the data was processed. Additionally, you will find important details about the file itself including the file version number.
R
In order to download data programmatically with R, you need a list of synIDs that correspond to the files. For downloading a large set of files, we recommend using the Synapse Python client. The Python client has been optimized for multi-threaded download and will provide you with faster download speeds.
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The annotations in exported_table include experimental details relevant to how the data was processed.
Python
In order to download data programmatically, you need a list of synIDs that correspond to the files.
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